グラフを描く機能をカスタマイズします
チャートオブジェクト オブジェクト
グラフ (オプション)
についてoptionsパラメータはチャート構成です.Chart()機能パラメータoptionsこれはJSONシリーズ化可能HighStocksパラメータHighcharts.StockChart追加的な__isStocknative パラメーターの上に attribute が追加され,__isStock:false通常のグラフとして表示されます.__isStock属性が false に設定されている場合,false,つまり,使用したグラフはHighchartsグラフ.__isStockアトリビュットは true 値に設定されます.true,つまり,使用したグラフはHighstocksチャート (デフォルトで)__isStock真実です 例えばtrue) に問い合わせることができます.HighStocksチャートライブラリ- わかった
オプション
本当
オブジェクト,オブジェクトアレイ
function main() {
var cfgA = {
extension: {
layout: 'single', // No grouping, display separately, default to group 'group'
height: 300, // Specify the height
},
title: {
text: 'handicap chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'buy one',
data: [],
}, {
name: 'sell one',
data: [],
}]
}
var cfgB = {
title: {
text: 'spread chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'spread',
type: 'column',
data: [],
}]
}
var cfgC = {
__isStock: false,
title: {
text: 'pie chart'
},
series: [{
type: 'pie',
name: 'one',
data: [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
] // Instead of updating the initial data with the add function, the sequence can be updated by changing the chart configuration directly.
}]
};
var cfgD = {
extension: {
layout: 'single',
col: 8, // Specify the cell value for the width, the total value is 12
height: '300px',
},
title: {
text: 'handicap chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'buy one',
data: [],
}, {
name: 'sell one',
data: [],
}]
}
var cfgE = {
__isStock: false,
extension: {
layout: 'single',
col: 4,
height: '300px',
},
title: {
text: 'pie chart2'
},
series: [{
type: 'pie',
name: 'one',
data: [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
]
}]
};
var chart = Chart([cfgA, cfgB, cfgC, cfgD, cfgE]);
chart.reset()
// Add a number of points to the pie chart, add can only update the data points added by add, built-in data points cannot be updated later.
chart.add(3, {
name: "ZZ",
y: Math.random() * 100
});
while (true) {
Sleep(1000)
var ticker = exchange.GetTicker()
if (!ticker) {
continue;
}
var diff = ticker.Sell - ticker.Buy
cfgA.subtitle = {
text: 'buy one ' + ticker.Buy + ', sell one ' + ticker.Sell,
};
cfgB.subtitle = {
text: 'spread ' + diff,
};
chart.add([0, [new Date().getTime(), ticker.Buy]]);
chart.add([1, [new Date().getTime(), ticker.Sell]]);
// Equivalent to updating the first data series of the second chart
chart.add([2, [new Date().getTime(), diff]]);
chart.add(4, [new Date().getTime(), ticker.Buy]);
chart.add(5, [new Date().getTime(), ticker.Buy]);
cfgC.series[0].data[0][1] = Math.random() * 100;
cfgE.series[0].data[0][1] = Math.random() * 100;
// update is actually the same as resetting the chart's configuration
chart.update([cfgA, cfgB, cfgC, cfgD, cfgE]);
}
}
import random
import time
def main():
cfgA = {
"extension" : {
"layout" : "single",
"height" : 300,
"col" : 8
},
"title" : {
"text" : "handicap chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
}
cfgB = {
"title" : {
"text" : "spread chart"
},
"xAxis" : {
"type" : "datetime",
},
"series" : [{
"name" : "spread",
"type" : "column",
"data" : []
}]
}
cfgC = {
"__isStock" : False,
"title" : {
"text" : "pie chart"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
]
}]
}
cfgD = {
"extension" : {
"layout" : "single",
"col" : 8,
"height" : "300px"
},
"title" : {
"text" : "handicap chart"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
}
cfgE = {
"__isStock" : False,
"extension" : {
"layout" : "single",
"col" : 4,
"height" : "300px"
},
"title" : {
"text" : "pie chart2"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
}
chart = Chart([cfgA, cfgB, cfgC, cfgD, cfgE])
chart.reset()
chart.add(3, {
"name" : "ZZ",
"y" : random.random() * 100
})
while True:
Sleep(1000)
ticker = exchange.GetTicker()
if not ticker :
continue
diff = ticker["Sell"] - ticker["Buy"]
cfgA["subtitle"] = {
"text" : "buy one" + str(ticker["Buy"]) + "sell one" + str(ticker["Sell"])
}
cfgB["subtitle"] = {
"text" : "spread " + str(diff)
}
chart.add(0, [time.time() * 1000, ticker["Buy"]])
chart.add(1, [time.time() * 1000, ticker["Sell"]])
chart.add(2, [time.time() * 1000, diff])
chart.add(4, [time.time() * 1000, ticker["Buy"]])
chart.add(5, [time.time() * 1000, ticker["Buy"]])
cfgC["series"][0]["data"][0][1] = random.random() * 100
cfgE["series"][0]["data"][0][1] = random.random() * 100
void main() {
json cfgA = R"({
"extension" : {
"layout" : "single",
"height" : 300,
"col" : 8
},
"title" : {
"text" : "handicap chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
})"_json;
json cfgB = R"({
"title" : {
"text" : "spread chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "spread",
"type" : "column",
"data" : []
}]
})"_json;
json cfgC = R"({
"__isStock" : false,
"title" : {
"text" : "pie chart"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
})"_json;
json cfgD = R"({
"extension" : {
"layout" : "single",
"col" : 8,
"height" : "300px"
},
"title" : {
"text" : "handicap chart"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
})"_json;
json cfgE = R"({
"__isStock" : false,
"extension" : {
"layout" : "single",
"col" : 4,
"height" : "300px"
},
"title" : {
"text" : "pie chart2"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
})"_json;
auto chart = Chart({cfgA, cfgB, cfgC, cfgD, cfgE});
chart.reset();
json zz = R"({
"name" : "ZZ",
"y" : 0
})"_json;
zz["y"] = rand() % 100;
chart.add(3, zz);
while(true) {
Sleep(1000);
auto ticker = exchange.GetTicker();
if(!ticker.Valid) {
continue;
}
auto diff = ticker.Sell - ticker.Buy;
json cfgASubTitle = R"({"text" : ""})"_json;
cfgASubTitle["text"] = format("buy one %f , sell one %f", ticker.Buy, ticker.Sell);
cfgA["subtitle"] = cfgASubTitle;
json cfgBSubTitle = R"({"text" : ""})"_json;
cfgBSubTitle["text"] = format("spread %f", diff);
cfgB["subtitle"] = cfgBSubTitle;
chart.add(0, {Unix() * 1000, ticker.Buy});
chart.add(1, {Unix() * 1000, ticker.Sell});
chart.add(2, {Unix() * 1000, diff});
chart.add(4, {Unix() * 1000, ticker.Buy});
chart.add(5, {Unix() * 1000, ticker.Buy});
cfgC["series"][0]["data"][0][1] = rand() % 100;
cfgE["series"][0]["data"][0][1] = rand() % 100;
chart.update({cfgA, cfgB, cfgC, cfgD, cfgE});
}
}
複数のチャート図の設定:
extension.layout属性
属性が値extension.height属性
この属性は,数値値または300pxextension.col属性
この属性は,チャートの幅を設定するために使用されます. ページの幅は12のセルに分けられ,セットは8です. つまり,チャートは8のセル幅を占めています.// This chart is an object in the JavaScript language, and before using the Chart function, we need to declare an object variable chart to configure the chart. var chart = {
// This field marks whether the chart is a general chart or not, if you are interested, you can change it to false and run it.
__isStock: true,
// Scaling tool
tooltip: {xDateFormat: '%Y-%m-%d %H:%M:%S, %A'},
// title
title : { text : 'spread analysis chart'},
// selection range
rangeSelector: {
buttons: [{type: 'hour',count: 1, text: '1h'}, {type: 'hour',count: 3, text: '3h'}, {type: 'hour', count: 8, text: '8h'}, {type: 'all',text: 'All'}],
selected: 0,
inputEnabled: false
},
// Coordinate axis horizontal axis that is: x-axis, the current setting type is: time
xAxis: { type: 'datetime'},
// Coordinate axis vertical axis that is: y-axis, default value adjusted with the size of the data
yAxis : {
// title
title: {text: 'spread'},
// Whether to enable the right vertical axis
opposite: false
},
// Data series, this sttribute holds the individual data series (lines, K-charts, labels, etc...)
series : [
// The index is 0, and the data array holds the data of the index series
{name : "line1", id : "line1,buy1Price", data : []},
// Index is 1, set dashStyle:'shortdash' i.e.: set the dashed line
{name : "line2", id : "line2,lastPrice", dashStyle : 'shortdash', data : []}
]
} function main(){
// Call the Chart function to initialize the chart
var ObjChart = Chart(chart)
// Clear out
ObjChart.reset()
while(true){
// Gets the timestamp of this poll, i.e. a millisecond timestamp. It's used to determine the position of the X-axis written to the chart.
var nowTime = new Date().getTime()
// Get the ticker data
var ticker = _C(exchange.GetTicker)
// Get buy one price from the return value of the ticker data
var buy1Price = ticker.Buy
// To obtain the final transaction price, we add 1 in order not to overlap the 2 lines
var lastPrice = ticker.Last + 1
// Data sequence with timestamp as X-value and buy one price as Y-value passed into index 0
ObjChart.add(0, [nowTime, buy1Price])
// ditto
ObjChart.add(1, [nowTime, lastPrice])
Sleep(2000)
}
}```
```python
import time
chart = {
"__isStock" : True,
"tooltip" : {"xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"},
"title" : {"text" : "spread analysis chart"},
"rangeSelector" : {
"buttons" : [{"type": "count", "count": 1, "text": "1h"}, {"type": "hour", "count": 3, "text": "3h"}, {"type": "hour", "count": 8, "text": "8h"}, {"type": "all", "text": "All"}],
"selected": 0,
"inputEnabled": False
},
"xAxis": {"type": "datetime"},
"yAxis": {
"title": {"text": "spread"},
"opposite": False
},
"series": [{
"name": "line1", "id": "line1,buy1Price", "data": []
}, {
"name": "line2", "id": "line2,lastPrice", "dashStyle": "shortdash", "data": []
}]
}
def main():
ObjChart = Chart(chart)
ObjChart.reset()
while True:
nowTime = time.time() * 1000
ticker = exchange.GetTicker()
buy1Price = ticker["Buy"]
lastPrice = ticker["Last"] + 1
ObjChart.add(0, [nowTime, buy1Price])
ObjChart.add(1, [nowTime, lastPrice])
Sleep(2000)
void main() {
// When writing strategies in C++, try not to declare global variables that are not of the base type, so the chart configuration object is declared inside the main function.
json chart = R"({
"__isStock" : true,
"tooltip" : {"xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"},
"title" : {"text" : "spread analysis chart"},
"rangeSelector" : {
"buttons" : [{"type": "count", "count": 1, "text": "1h"}, {"type": "hour", "count": 3, "text": "3h"}, {"type": "hour", "count": 8, "text": "8h"}, {"type": "all", "text": "All"}],
"selected": 0,
"inputEnabled": false
},
"xAxis": {"type": "datetime"},
"yAxis": {
"title": {"text": "spread"},
"opposite": false
},
"series": [{
"name": "line1", "id": "line1,buy1Price", "data": []
}, {
"name": "line2", "id": "line2,lastPrice", "dashStyle": "shortdash", "data": []
}]
})"_json;
auto ObjChart = Chart(chart);
ObjChart.reset();
while(true) {
auto nowTime = Unix() * 1000;
auto ticker = exchange.GetTicker();
auto buy1Price = ticker.Buy;
auto lastPrice = ticker.Last + 1.0;
ObjChart.add(0, {nowTime, buy1Price});
ObjChart.add(1, {nowTime, lastPrice});
Sleep(2000);
}
}
簡単な図の例:
// Objects used to initialize the chart
var chart = {
// Chart title
title: {text: "line value triggers the plotLines value"},
// Y-axis related settings
yAxis: {
// A horizontal line perpendicular to the Y-axis, used as a trigger line, is a structural array that can set multiple trigger lines
plotLines: [{
// The value of the trigger line, how much it set, this line will be displayed in the corresponding value position
value: 0,
// Set the color of the trigger line
color: 'red',
// Width
width: 2,
// Displaying labels
label: {
// Label text
text: 'Trigger value',
// Centered label position
align: 'center'
}
}]
},
// X-axis related settings, here the setting type is time axis
xAxis: {type: "datetime"},
series: [
{name: "sin", type: "spline", data: []},
// This is an important data series, you can set multiple data series, according to the array index control
{name: "cos", type: "spline", data: []}
]
}
function main(){
// Circumference
var pi = 3.1415926535897
// Variables for recording timestamps
var time = 0
// Angle
var angle = 0
// Coordinate y values for receiving sine and cosine values
var y = 0
// Call the API interface to initialize the chart with the chart object
var objChart = Chart(chart)
// Initially, clear the chart
objChart.reset()
// Set the value of the trigger line to 1
chart.yAxis.plotLines[0].value = 1
// Loop
while(true){
// Get the timestamp of the current moment
time = new Date().getTime()
// Angle increases by 5 degrees every 500ms and calculates the sine value
y = Math.sin(angle * 2 * pi / 360)
// Write the calculated y value to the data series of the corresponding index of the chart, the first parameter of the add function is the specified data series index
objChart.add(0, [time, y])
// Calculate the cosine value
y = Math.cos(angle * 2 * pi / 360)
objChart.add(1, [time, y])
// Increase by 5 degrees
angle += 5
// Pause for 5 seconds to avoid drawing too often and growing data too fast
Sleep(5000)
}
}
import math
import time
chart = {
"title": {"text": "line value triggers the plotLines value"},
"yAxis": {
"plotLines": [{
"value": 0,
"color": "red",
"width": 2,
"label": {
"text": "trigger value",
"align": "center"
}
}]
},
"xAxis": {"type": "datetime"},
"series": [{"name": "sin", "type": "spline", "data": []},
{"name": "cos", "type": "spline", "data": []}]
}
def main():
pi = 3.1415926535897
ts = 0
angle = 0
y = 0
objChart = Chart(chart)
objChart.reset()
chart["yAxis"]["plotLines"][0]["value"] = 1
while True:
ts = time.time() * 1000
y = math.sin(angle * 2 * pi / 360)
objChart.add(0, [ts, y])
y = math.cos(angle * 2 * pi / 360)
objChart.add(1, [ts, y])
angle += 5
Sleep(5000)
void main() {
json chart = R"({
"title": {"text": "line value triggers the plotLines value"},
"yAxis": {
"plotLines": [{
"value": 0,
"color": "red",
"width": 2,
"label": {
"text": "trigger value",
"align": "center"
}
}]
},
"xAxis": {"type": "datetime"},
"series": [{"name": "sin", "type": "spline", "data": []},
{"name": "cos", "type": "spline", "data": []}]
})"_json;
auto pi = 3.1415926535897;
auto ts = 0;
auto angle = 0.0;
auto y = 0.0;
auto objChart = Chart(chart);
objChart.reset();
chart["yAxis"]["plotLines"][0]["value"] = 1;
while(true) {
ts = Unix() * 1000;
y = sin(angle * 2 * pi / 360);
objChart.add(0, {ts, y});
y = cos(angle * 2 * pi / 360);
objChart.add(1, {ts, y});
angle += 5;
Sleep(5000);
}
}
三角形曲線を描く例:
/*backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
*/
var chartCfg = {
subtitle: {
text: "subtitle",
},
yAxis: [{
height: "40%",
lineWidth: 2,
title: {
text: 'PnL',
},
tickPixelInterval: 20,
minorGridLineWidth: 1,
minorTickWidth: 0,
opposite: true,
labels: {
align: "right",
x: -3,
}
}, {
title: {
text: 'Profit',
},
top: "42%",
height: "18%",
offset: 0,
lineWidth: 2
}, {
title: {
text: 'Vol',
},
top: '62%',
height: '18%',
offset: 0,
lineWidth: 2
}, {
title: {
text: 'Asset',
},
top: '82%',
height: '18%',
offset: 0,
lineWidth: 2
}],
series: [{
name: 'PnL',
data: [],
id: 'primary',
tooltip: {
xDateFormat: '%Y-%m-%d %H:%M:%S'
},
yAxis: 0
}, {
type: 'column',
lineWidth: 2,
name: 'Profit',
data: [],
yAxis: 1,
}, {
type: 'column',
name: 'Trade',
data: [],
yAxis: 2
}, {
type: 'area',
step: true,
lineWidth: 0,
name: 'Long',
data: [],
yAxis: 2
}, {
type: 'area',
step: true,
lineWidth: 0,
name: 'Short',
data: [],
yAxis: 2
}, {
type: 'line',
step: true,
color: '#5b4b00',
name: 'Asset',
data: [],
yAxis: 3
}, {
type: 'pie',
innerSize: '70%',
name: 'Random',
data: [],
center: ['3%', '6%'],
size: '15%',
dataLabels: {
enabled: false
},
startAngle: -90,
endAngle: 90,
}],
};
function main() {
let c = Chart(chartCfg);
let preTicker = null;
while (true) {
let t = exchange.GetTicker();
c.add(0, [t.Time, t.Last]); // PnL
c.add(1, [t.Time, preTicker ? t.Last - preTicker.Last : 0]); // profit
let r = Math.random();
var pos = parseInt(t.Time/86400);
c.add(2, [t.Time, pos/2]); // Vol
c.add(3, [t.Time, r > 0.8 ? pos : null]); // Long
c.add(4, [t.Time, r < 0.8 ? -pos : null]); // Short
c.add(5, [t.Time, Math.random() * 100]); // Asset
// update pie
chartCfg.series[chartCfg.series.length-1].data = [
["A", Math.random()*100],
["B", Math.random()*100],
];
c.update(chartCfg)
preTicker = t;
}
}
'''backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
'''
import random
chartCfg = {
"subtitle": {
"text": "subtitle"
},
"yAxis": [{
"height": "40%",
"lineWidth": 2,
"title": {
"text": 'PnL'
},
"tickPixelInterval": 20,
"minorGridLineWidth": 1,
"minorTickWidth": 0,
"opposite": True,
"labels": {
"align": "right",
"x": -3
}
}, {
"title": {
"text": 'Profit'
},
"top": "42%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": 'Vol'
},
"top": '62%',
"height": '18%',
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": 'Asset'
},
"top": '82%',
"height": '18%',
"offset": 0,
"lineWidth": 2
}],
"series": [{
"name": 'PnL',
"data": [],
"id": 'primary',
"tooltip": {
"xDateFormat": '%Y-%m-%d %H:%M:%S'
},
"yAxis": 0
}, {
"type": 'column',
"lineWidth": 2,
"name": 'Profit',
"data": [],
"yAxis": 1
}, {
"type": 'column',
"name": 'Trade',
"data": [],
"yAxis": 2
}, {
"type": 'area',
"step": True,
"lineWidth": 0,
"name": 'Long',
"data": [],
"yAxis": 2
}, {
"type": 'area',
"step": True,
"lineWidth": 0,
"name": 'Short',
"data": [],
"yAxis": 2
}, {
"type": 'line',
"step": True,
"color": '#5b4b00',
"name": 'Asset',
"data": [],
"yAxis": 3
}, {
"type": 'pie',
"innerSize": '70%',
"name": 'Random',
"data": [],
"center": ['3%', '6%'],
"size": '15%',
"dataLabels": {
"enabled": False
},
"startAngle": -90,
"endAngle": 90
}]
}
def main():
c = Chart(chartCfg)
preTicker = None
while True:
t = exchange.GetTicker()
c.add(0, [t["Time"], t["Last"]])
profit = t["Last"] - preTicker["Last"] if preTicker else 0
c.add(1, [t["Time"], profit])
r = random.random()
pos = t["Time"] / 86400
c.add(2, [t["Time"], pos / 2])
long = pos if r > 0.8 else None
c.add(3, [t["Time"], long])
short = -pos if r < 0.8 else None
c.add(4, [t["Time"], short])
c.add(5, [t["Time"], random.random() * 100])
# update pie
chartCfg["series"][len(chartCfg["series"]) - 1]["data"] = [
["A", random.random() * 100],
["B", random.random() * 100]
]
c.update(chartCfg)
preTicker = t
/*backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
*/
void main() {
json chartCfg = R"({
"subtitle": {
"text": "subtitle"
},
"yAxis": [{
"height": "40%",
"lineWidth": 2,
"title": {
"text": "PnL"
},
"tickPixelInterval": 20,
"minorGridLineWidth": 1,
"minorTickWidth": 0,
"opposite": true,
"labels": {
"align": "right",
"x": -3
}
}, {
"title": {
"text": "Profit"
},
"top": "42%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": "Vol"
},
"top": "62%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": "Asset"
},
"top": "82%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}],
"series": [{
"name": "PnL",
"data": [],
"id": "primary",
"tooltip": {
"xDateFormat": "%Y-%m-%d %H:%M:%S"
},
"yAxis": 0
}, {
"type": "column",
"lineWidth": 2,
"name": "Profit",
"data": [],
"yAxis": 1
}, {
"type": "column",
"name": "Trade",
"data": [],
"yAxis": 2
}, {
"type": "area",
"step": true,
"lineWidth": 0,
"name": "Long",
"data": [],
"yAxis": 2
}, {
"type": "area",
"step": true,
"lineWidth": 0,
"name": "Short",
"data": [],
"yAxis": 2
}, {
"type": "line",
"step": true,
"color": "#5b4b00",
"name": "Asset",
"data": [],
"yAxis": 3
}, {
"type": "pie",
"innerSize": "70%",
"name": "Random",
"data": [],
"center": ["3%", "6%"],
"size": "15%",
"dataLabels": {
"enabled": false
},
"startAngle": -90,
"endAngle": 90
}]
})"_json;
Chart c = Chart(chartCfg);
Ticker preTicker;
while(true) {
auto t = exchange.GetTicker();
c.add(0, {t.Time, t.Last});
auto profit = preTicker.Valid ? t.Last - preTicker.Last : 0;
c.add(1, {t.Time, profit});
auto r = rand() % 100;
auto pos = t.Time / 86400.0;
c.add(2, {t.Time, pos / 2.0});
auto longPos = r > 0.8 ? pos : NULL;
c.add(3, {t.Time, longPos});
auto shortPos = r < 0.8 ? -pos : NULL;
c.add(4, {t.Time, shortPos});
c.add(5, {t.Time, rand() % 100});
// update pie
json pie = R"([["A", 0], ["B", 0]])"_json;
pie[0][1] = rand() % 100;
pie[1][1] = rand() % 100;
chartCfg["series"][chartCfg["series"].size() - 1]["data"] = pie;
c.update(chartCfg);
preTicker = t;
}
}
ハイブリッドチャートの複雑な例:
// update pie
chartCfg.series[chartCfg.series.length-1].data = [
["A", Math.random()*100],
["B", Math.random()*100],
];
c.update(chartCfg)
# update pie
chartCfg["series"][len(chartCfg["series"]) - 1]["data"] = [
["A", random.random() * 100],
["B", random.random() * 100]
]
c.update(chartCfg)
// update pie
json pie = R"([["A", 0], ["B", 0]])"_json;
pie[0][1] = rand() % 100;
pie[1][1] = rand() % 100;
chartCfg["series"][chartCfg["series"].size() - 1]["data"] = pie;
c.update(chartCfg);
タイプ図pieデータを更新するときに直接チャート構成を更新する必要があります.例えば,上記の例のコードは,チャートを更新します.c.update(chartCfg)データを更新した後,次のとおり:
についてChart()この関数は4つのメソッドを持つチャートオブジェクトを返しますadd(), reset(), update(), del().
update()方法:
についてupdate()このメソッドのパラメータは Chart Configuration Object (JSON) である.del()方法:
についてdel()このメソッドは,渡されたシリーズパラメータに基づいて,指定されたインデックスのデータシリーズを削除できます.add()方法:
についてadd()この方法では,次のパラメータの順序でデータをチャートに書き込むことができます.series: 数値系インデックスを設定するために使用されます.data: 書き込む特定のデータを設定するために使用されます. これは配列です.index(オプション): データインデックスを設定するために使用されます.これは整数です. 変更されたデータの特定のインデックス位置を指定します.-1データセットの最後のデータを指します.
例えば,線を描くとき,線の最後の点のデータを修正します.chart.add(0, [1574993606000, 13.5], -1),つまり,チャートの前最後の最初のポイントのデータを変更しますseries[0].data- わかった
についてindexパラメータが設定されていないので,データは現在のデータシリーズの最後の点に追加されます.reset()方法:
についてreset()グラフのデータを空にする.reset()メソッドはパラメータを取ることができるremainパラメータはありません.remainすべてのデータをクリアします.{@fun/Log/KLineChartKLineChart} クライン・チャート クライン・チャート
EnableLog を起動する KLineチャート